Agsft

Its work is tailored for software enterprises, ISVs, and global brands, with a focus on optimizing processes and modernizing IT infrastructure for resilience and efficiency.

Company facts

• 500+ projects delivered
• 99% client satisfaction
• 13+ years of experience
• 3 offshore development centers

Industries served

• Healthcare
• IT Storage
• Education and Printing
• Entertainment and Media

Leadership

• Dharm Singh — Co-Founder and CEO
• Renu Singh — Co-Founder, Director
• Amit Saxena — Director, India Head
• Abhijeet Shinde — Chief Technology Officer
• DJ Singh — HR Head
• Alok Singh — Microsoft Vertical Head and Architect

Data, Analytics and AI Solutions

Services include AI-ready data architecture, enterprise AI and GenAI, augmented analytics, and responsible AI and trust. The company uses data fabric, data mesh architecture, MLOps pipelines, and vector databases for GenAI and RAG.

Digital Engineering and Product Development

The company develops cloud-native, DevOps-first digital products that can scale from MVP to enterprise. Capabilities include full-stack development, microservices, Kubernetes-based deployment, digital product engineering, UI/UX experience design, DevOps and automation, and legacy modernization.

Cloud and Infrastructure Services

Cloud capabilities include strategy and migration, managed cloud services, security and governance, and cloud FinOps. The approach includes application and cost assessment, secure landing zones, and migration waves designed for minimal downtime.

Application Services and Management

Application services include custom app development, application maintenance and support, enterprise integration, QA and testing, full-lifecycle development, and native and cross-platform mobile builds.

Delivery process

1. Discover and Assess: Understand business goals, technology, users, and operational challenges.
2. Design and Architect: Define the user experience, solution architecture, integrations, and technical priorities.
3. Develop and Deploy: Build, test, integrate, and deploy in focused, iterative cycles with regular feedback.
4. Optimize and Evolve: Monitor performance, address changing needs, improve the product, and scale the solution after launch.

2-Week Focused Sprints

Price: $4,500 bi-weekly

Focused two-week cycles combine strategy, design, and development. The engagement can be paused or canceled at any time.

Included:

• AI-powered development team
• Unlimited revisions
• Product strategy and roadmap planning
• Integrations and API development
• Communication via Slack
• Weekly progress updates

Complete product in 2 weeks

Price: $9,500 one-time

This option provides a fully working product ready to go live in 14 days.

Included:

• Functional MVP built end-to-end
• Database and API integrations
• User authentication and onboarding flow
• Clean, scalable product design

• Phone: +1 408-372-5811
• Email: [email protected]
• Phone hours: Monday–Friday, 9:00 AM–6:00 PM PST
• Typical response: Within 24 working hours

Global offices

Pune Office, India

Agile Soft Systems India Pvt. Ltd. 7th Floor, Office 702, Baner Business Bay, Pashan - Sus Road, Baner Annex, Baner, Pune, Maharashtra 411045

Mohali Office, India

Agile Soft Systems India Pvt. Ltd. F6, Phase 8, Industrial Area, Sector 72, Sahibzada Ajit Singh Nagar, Punjab - 160071, India

Contact options

The company invites prospective clients to submit their name, email address, subject, phone number, and message through its contact form. Partnership, career, and media inquiries can be identified in the form for routing to the appropriate team.

Employee benefits

• Insurance
• Wellness programs
• Referral bonus
• Job tenure perks
• Individual achievement perks
• Team performance perks

Open positions

The company is hiring engineers for its growing team.

Frontend Developer

• 7+ years of experience
• Full-time
• React, Next.js, TypeScript, and Tailwind CSS

Full Stack Developer — MEAN Stack

• MongoDB
• Express.js
• Angular
• Node.js

Key deliverables include:

• Data fabric implementation across cloud and on-premise sources
• Automated MLOps data pipelines
• Vector database implementation for Generative AI and RAG
• Real-time processing using Kafka, Spark, and stream processing
• Cloud data warehousing with platforms such as Snowflake, Databricks, or BigQuery
• Data governance strategies covering ownership, quality standards, and access controls

The website states outcomes of 60% faster data-source onboarding, a 95% data-quality boost, and 8x faster query and reporting performance after modernization.

Managed cloud services

Managed cloud services apply Site Reliability Engineering principles, Service Level Objectives, and AIOps to support proactive incident prevention and resolution.

Key deliverables include:

• 24/7/365 monitoring and alerting
• Dedicated NOC with SLA-driven incident response
• AIOps implementation for predictive alerting and automated self-healing
• Patching and update management
• Cloud governance and FinOps integration
• Disaster recovery management
• L1, L2, and L3 service desk support

The website states outcomes of 40% reduced MTTR, 99.999% guaranteed uptime, and 20% staff time reallocation from maintenance to core development.